搜索
Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
磁力链接/BT种子名称
Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
磁力链接/BT种子简介
种子哈希:
eb40b373423addd8f3cbe309ee186413bb936663
文件大小:
2.84G
已经下载:
1428
次
下载速度:
极快
收录时间:
2024-12-01
最近下载:
2025-10-17
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:EB40B373423ADDD8F3CBE309EE186413BB936663
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
世界之窗
小蓝俱乐部
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
51动漫
91短视频
抖音Max
TikTok成人版
PornHub
暗网Xvideo
草榴社区
哆哔涩漫
呦乐园
萝莉岛
搜同
最近搜索
bibo
arcane
骚浪闺蜜
vec-377
sone-817
八字奶
裸体瑜伽
fruhreifen report
will
轻纱
megan
sero-0074
loliiiiipop
dpmi-048
力哥
韓國 黒珍
ai增强
[pthc]
立花
miranda
猛人
dpmi048c
dpmi048
臀 女上
大胸少妇
极品 萝莉
synthesis
操拉
电影
[clubseventeen.com]
文件列表
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.mp4
175.5 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4
151.0 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.mp4
133.8 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.mp4
132.6 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.mp4
127.7 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.mp4
127.1 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.mp4
120.2 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.mp4
119.0 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4
114.3 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.mp4
113.8 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.mp4
113.6 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.mp4
108.3 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.mp4
104.6 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.mp4
102.3 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.mp4
95.3 MB
z.quick-start-guide-to-llms-main/data/comparison_data_v2.json
81.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.mp4
74.8 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.mp4
67.8 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.mp4
65.9 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.mp4
60.7 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.mp4
59.2 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.mp4
58.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.mp4
56.4 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.mp4
50.6 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.mp4
48.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.mp4
48.6 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.mp4
43.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.mp4
42.2 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.mp4
42.0 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.mp4
33.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.mp4
31.3 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4
29.2 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.mp4
27.6 MB
Summary/001. Quick Guide to Large Language Models Summary.mp4
25.4 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.mp4
23.5 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.mp4
22.6 MB
Introduction/001. Quick Guide to Large Language Models Introduction.mp4
22.5 MB
Module 3 Advanced LLM Usage/001. Module Introduction.mp4
20.7 MB
Module 1 Introduction to Large Language Models/001. Module Introduction.mp4
19.2 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.mp4
18.2 MB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.mp4
17.6 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.mp4
17.0 MB
z.quick-start-guide-to-llms-main/data/pds2.pdf
16.7 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.mp4
13.5 MB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.mp4
6.2 MB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.mp4
6.1 MB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.mp4
6.1 MB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.mp4
6.1 MB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.mp4
6.0 MB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.mp4
5.7 MB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.mp4
4.8 MB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.mp4
4.7 MB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.mp4
3.9 MB
z.quick-start-guide-to-llms-main/notebooks/09_using_our_vqa.ipynb
3.7 MB
z.quick-start-guide-to-llms-main/notebooks/05_openai_app_review_fine_tuning.ipynb
2.1 MB
z.quick-start-guide-to-llms-main/notebooks/10_anime_category_classification_model_freezing.ipynb
1.6 MB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_USE_SAWYER.ipynb
1.5 MB
z.quick-start-guide-to-llms-main/notebooks/04_agent.ipynb
1.4 MB
z.quick-start-guide-to-llms-main/notebooks/06_adv_prompt_engineering.ipynb
1.1 MB
z.quick-start-guide-to-llms-main/notebooks/07_recommendation_engine.ipynb
1.1 MB
z.quick-start-guide-to-llms-main/notebooks/12_llm_gen_eval.ipynb
1.0 MB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_RLF.ipynb
774.6 kB
z.quick-start-guide-to-llms-main/notebooks/12_llm_calibration.ipynb
677.3 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_LLAMA_SFT.ipynb
631.4 kB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_2.ipynb
486.5 kB
z.quick-start-guide-to-llms-main/notebooks/11_llama_quantization.ipynb
448.8 kB
z.quick-start-guide-to-llms-main/notebooks/02_semantic_search.ipynb
448.5 kB
z.quick-start-guide-to-llms-main/notebooks/12_cluster.ipynb
447.1 kB
z.quick-start-guide-to-llms-main/notebooks/09_flan_t5_rl.ipynb
440.9 kB
z.quick-start-guide-to-llms-main/notebooks/09_constructing_a_vqa_system.ipynb
334.1 kB
z.quick-start-guide-to-llms-main/notebooks/10_optimizing_fine_tuning.ipynb
321.4 kB
z.quick-start-guide-to-llms-main/notebooks/11_distillation_example_1.ipynb
317.5 kB
z.quick-start-guide-to-llms-main/notebooks/10_SAWYER_Reward_Model.ipynb
237.8 kB
z.quick-start-guide-to-llms-main/images/qsllm2e.jpg
122.7 kB
z.quick-start-guide-to-llms-main/notebooks/05_bert_app_review.ipynb
103.6 kB
z.quick-start-guide-to-llms-main/notebooks/10_latex_gpt2.ipynb
66.8 kB
z.quick-start-guide-to-llms-main/images/qsllm.jpeg
65.2 kB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/002. 3.1 Introduction to Prompt Engineering.en.srt
47.9 kB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/005. 4.4 Case Study Predicting with Amazon Reviews Part 2.en.srt
46.3 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/003. 8.2 BERT for Multi-label Classification Part 2.en.srt
41.7 kB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.en.srt
39.4 kB
z.quick-start-guide-to-llms-main/notebooks/03_prompt_engineering.ipynb
36.6 kB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/003. 9.2 Knowledge Distillation.en.srt
34.5 kB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/002. 1.1 What Are Language Models.en.srt
34.3 kB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/003. 2.2 Building a Semantic Search System.en.srt
33.1 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/004. 7.3 Case Study Visual QA Setting Up Our Model.en.srt
32.4 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/007. 7.6 Aligning FLAN-T5 with Reinforcement Learning from Feedback.en.srt
31.9 kB
z.quick-start-guide-to-llms-main/images/gpt3_paper.png
31.2 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/004. 8.3 Writing LaTeX with GPT-2.en.srt
31.1 kB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/003. 1.2 Popular Modern LLMs.en.srt
30.8 kB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.en.srt
29.4 kB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/004. 6.3 Fine-Tuning an Embedding Model to Capture User Behavior.en.srt
28.8 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/005. 7.4 Case Study Visual QA Setting Up Our Parameters and Data.en.srt
27.5 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/007. 8.6 Instruction Alignment of LLMs Reward Modeling.en.srt
26.9 kB
z.quick-start-guide-to-llms-main/notebooks/04_rag_retrieval.ipynb
26.4 kB
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/002. 2.1 Introduction to Semantic Search.en.srt
23.4 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/002. 8.1 BERT for Multi-label Classification Part 1.en.srt
20.7 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/008. 8.7 Instruction Alignment of LLMs RLHF.en.srt
19.5 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/006. 7.5 Introduction to Reinforcement Learning from Feedback.en.srt
18.5 kB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/003. 6.2 Using OpenAI s Embedding Models.en.srt
17.2 kB
z.quick-start-guide-to-llms-main/data/latex-guide-cos423.txt
16.7 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/009. 8.8 Instruction Alignment of LLMs Using Our Instruction Aligned LLM.en.srt
16.7 kB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/004. 4.3 Case Study Predicting with Amazon Reviews Part 1.en.srt
15.8 kB
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/002. 9.1 Cost Projecting and Deploying LLMs to Production.en.srt
15.3 kB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/004. 5.3 Chain-of-Thought Prompting.en.srt
14.8 kB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/002. 5.1 InputOutput Validation.en.srt
14.5 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/006. 8.5 Instruction Alignment of LLMs Supervised Fine-Tuning.en.srt
14.4 kB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/002. 6.1 Case Study Building an Anime Recommendation System.en.srt
13.5 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/005. 8.4 Case Study Sinan s Attempt at Wise Yet Engaging Responses SAWYER.en.srt
12.8 kB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/003. 5.2 Batch Prompting + Prompt Chaining.en.srt
11.8 kB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/002. 4.1 Transfer Learning A Primer.en.srt
9.9 kB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/003. 4.2 The OpenAI Fine-Tuning API.en.srt
9.2 kB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/005. 5.4 Preventing Prompt Injection Attacks.en.srt
7.8 kB
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/006. 5.5 Assessing an LLM's Encoded Knowledge Level.en.srt
7.8 kB
z.quick-start-guide-to-llms-main/README.md
7.2 kB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/003. 3.2 Working with Prompts Across Models.en.srt
6.9 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/conversation_utils.py
5.7 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/api.py
5.5 kB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/004. 1.3 Applications of LLMs.en.srt
5.1 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/003. 7.2 Using Cross Attention to Mix Data Modalities.en.srt
4.9 kB
Module 3 Advanced LLM Usage/001. Module Introduction.en.srt
4.7 kB
Summary/001. Quick Guide to Large Language Models Summary.en.srt
4.7 kB
Module 1 Introduction to Large Language Models/001. Module Introduction.en.srt
4.2 kB
Introduction/001. Quick Guide to Large Language Models Introduction.en.srt
4.1 kB
Module 2 Getting the Most Out of LLMs/001. Module Introduction.en.srt
3.4 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/002. 7.1 The Vision Transformer.en.srt
3.4 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/README.md
3.4 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/chunking_utils.py
2.0 kB
Module 1 Introduction to Large Language Models/Lesson 1 Overview of Large Language Models/001. Topics.en.srt
1.1 kB
Module 3 Advanced LLM Usage/Lesson 7 Moving Beyond Foundation Models/001. Topics.en.srt
1.1 kB
Module 3 Advanced LLM Usage/Lesson 8 Advanced Open-source LLM Fine-Tuning/001. Topics.en.srt
1.1 kB
Module 1 Introduction to Large Language Models/Lesson 3 First Steps with Prompt Engineering/001. Topics.en.srt
1.0 kB
Module 2 Getting the Most Out of LLMs/Lesson 6 Customizing Embeddings + Model Architectures/001. Topics.en.srt
1.0 kB
Module 2 Getting the Most Out of LLMs/Lesson 4 Optimizing LLMs with Fine-Tuning/001. Topics.en.srt
1.0 kB
z.quick-start-guide-to-llms-main/semantic-search-fastapi/retrieval_utils.py
947 Bytes
Module 3 Advanced LLM Usage/Lesson 9 Moving LLMs into Production/001. Topics.en.srt
906 Bytes
Module 1 Introduction to Large Language Models/Lesson 2 Semantic Search with LLMs/001. Topics.en.srt
811 Bytes
Module 2 Getting the Most Out of LLMs/Lesson 5 Advanced Prompt Engineering/001. Topics.en.srt
593 Bytes
z.quick-start-guide-to-llms-main/.gitignore
285 Bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/Dockerfile
214 Bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/requirements.txt
151 Bytes
z.quick-start-guide-to-llms-main/data/anime/rating_complete.csv
134 Bytes
z.quick-start-guide-to-llms-main/data/chip2.csv
133 Bytes
z.quick-start-guide-to-llms-main/data/pre_merged_anime.csv
132 Bytes
z.quick-start-guide-to-llms-main/data/anime/pre_merged_anime.csv
132 Bytes
z.quick-start-guide-to-llms-main/data/english_to_latex.csv
129 Bytes
z.quick-start-guide-to-llms-main/data/anime/watching_status.csv
127 Bytes
z.quick-start-guide-to-llms-main/semantic-search-fastapi/.env
121 Bytes
z.quick-start-guide-to-llms-main/requirements.txt
89 Bytes
z.quick-start-guide-to-llms-main/.gitattributes
42 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!